Jan 30, 2020
Excellent! But, I am missing some of the prerequisites since I just wanted to take a chance and try things out, but feel like proceeding further might lead to some stumbling blocks.
Mar 16, 2020
Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.
by mohammadreza s•
Feb 16, 2020
the platform they chose for submitting homework was not very well. most of the time it took me 15min to get to the platform to code the homework. also, it doesn't dig deep into topics, which is fine because it is a comprehensive course.
by Tiago C•
Aug 16, 2020
The course has a few good points, but the lectures are often superficial. Also it seems like they are taking lectures from different courses and assembling them into one class, in a way that the lectures often seem disconnected.
by Nikolas M•
Jan 14, 2020
Decent intro for ML but very limited in how it relates to trading. I would not say I feel comfortable creating an algo after this course. Also, felt very much like a Google ad quite often.
by rohit s•
Jul 27, 2020
A decent introduction but with minimal hands on learning. Most of the initiative is on the student to learn about and apply the topics described here. Also tends to promote GCP a lot.
by Shekhar K•
Jun 03, 2020
The course seems incomplete or not organized well. The concepts come and go out of nowhere. I knew lot of concepts beforehand and could figure out, but it was very fragmented.
by Chan W W K•
Sep 01, 2020
The course is loosely organized. Some of the concepts in lab have not been gone through in the lecture. Anyway, the lectures presented by Jack is good.
by Andreas W•
Sep 26, 2020
Theory of the financial part was interesting. "Coding" part was more or less running some fully implemented scripts from a github repository.
by Rustom F•
Jan 30, 2020
The course seems to be more focused on advertising google cloud platform and there is hardly any focus on how to use ML or AI for trading.
Jan 21, 2020
Too layman. NO real ML techniques for real trading, just some intro that you can easily find on stackoverflows or something.
by Rafiul H N•
Jun 02, 2020
The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.
May 05, 2020
I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes
by Pranav K S•
Jan 27, 2020
This is a good introduction course, fourth week completely different or not aligned with course title.
by Konstantin K•
Aug 31, 2020
So many words in that course and so little knowledge. For me, it was wasting time on 80%.
by Lazaris A•
Mar 20, 2020
Nice theory very poor explaining in application not very useful to make you build a model
by Steve W•
Dec 28, 2019
Some good parts, but several sections were cobbled together from other courses I've taken
by Hilmi E•
Feb 01, 2020
The relationship between these three topics are somewhat loosely presented..
Jan 18, 2020
Not much learn from them, but whatever is there it's good.
by Jean-Luc B•
Jan 11, 2020
Material sometimes seems like a patchwork in random order.
by Joe M•
Apr 02, 2020
Good intro to concepts. Labs could use more thought.
by Alain T•
Apr 04, 2020
Good Introduction to Time Series, ML and GCP!
by Bryan D•
Jan 13, 2020
Ok as an introduction (it is what the title says after all), but I ended up doing a lot of things in the lab without really knowing why I was doing them (e.g. loading different libraries, a lot of the syntax, etc.). Granted I can research that on my own, but more guidance would have been appreciated.
More broadly, this course feels a bit chaotic, jumping from one topic to the other, and then getting back at a previous one. This is ok to explore the fundamentals, which is clearly the intent here, but more structure would be welcome. Particularly, the introduction to Jupyter notebooks coming at the end of the course, after three labs, feels a bit frustrating. On a similar note, the course really feels like (and clearly is) something that was patched together from bits and pieces of other courses, with often times instructors referring to "previous" topics that were not actually covered (e.g. random forests). For a paid specialisation, this feels a bit sub-par. I have had free Coursera courses that felt more consistant.
by Sam F•
Jan 03, 2020
Had I not read another book on ML, I probably wouldn't understand a lot of material covered here. The course might be a good recap if you already know the material. However for someone who is new to ML, the videos just dumps a lot of definition on you without real explanation in layman term. I ended up having to go to other YouTube videos for explanation.
by Oleksandr S•
Feb 02, 2020
The course gives you a very limited introduction to ML for trading. More examples of time series models, basic trading strategies, use of ML methods etc are needed.
by Jonathan S•
Sep 13, 2020
Actual programming was nonexistent, the assignments just had you run already-written jupyter notebooks
by Michael K•
Jan 23, 2020
Lacks depth of most topics , too brief of an introduction